Integrating AI into Business Software: Practical Guide

AI — LLMs, embeddings, agents — can enhance business software. But when and how? Here's a practical guide to integrating AI without over-engineering.

Table of Contents

• Use Cases
• LLM Integration
• Embeddings & Search
• Practical Tips
• Frequently Asked Questions

Use Cases

• Chatbot, support assistant
• Summarization, extraction
• Semantic search
• Draft generation (emails, content)
• Classification, routing

LLM Integration

OpenAI, Anthropic, or open-source (Llama, Mistral). API calls with prompts. Consider: cost, latency, hallucination. Use for non-critical or human-in-loop.

Embeddings & Search

Embed text, store in vector DB (Pinecone, pgvector). Semantic search. RAG (Retrieval Augmented Generation) for grounded answers.

Practical Tips

• Start simple — one use case
• Don't replace critical logic with AI
• Human in the loop for important decisions
• Monitor cost and latency

Frequently Asked Questions